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vinitra-zz
reviewed
Jun 3, 2019
@@ -46,7 +38,7 @@ def convert_keras_upsample(scope, operator, container, n_dims): | |||
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# If channels_first is True, we don't need to permute the output of ONNX Upsample. Otherwise, similar to Crop's | |||
# conversion, a Transpose would be added. |
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update channels_first comments to indicate change to no_permutation_required
vinitra-zz
reviewed
Jun 3, 2019
attrs['op_version'] = op_version | ||
# In ONNX opset 10, the ceil_mode attribute was added to local MaxPool and AveragePool | ||
if container.target_opset >= 10: | ||
attrs['ceil_mode'] = 0 |
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Thanks for adding the ceil_mode opset10 changes! I can close my PR #96.
LGTM, after it passes the CI tests! Thanks for merging my changes from #96 into this PR. Will focus solely on thresholdedReLU in that PR. |
vinitra-zz
approved these changes
Jun 3, 2019
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vinitra-zz
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Jun 3, 2019
…into test_upsample
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wenbingl
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Oct 22, 2019
fix batch norm mean/var dimention issue
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